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Record W4406963555 · doi:10.9734/ijmpcr/2025/v18i1408

High-Dose Intravenous Epoprostenol and Adjunct Therapies for Refractory Raynaud’s Phenomenon Associated with Anti-Jo-1 Antibodies: A Case Report

2025· article· en· W4406963555 on OpenAlexaff
Andy Pan, Imran Khan, M Mansour, Bernadett Horváthné Kovács, Caitlin Richler, Christine S. Landry, Kimberley Do, Sydney Morin, Melissa Varsava, Emma Baun, Pierre Thabet

Bibliographic record

VenueInternational Journal of Medical and Pharmaceutical Case Reports · 2025
Typearticle
Languageen
FieldMedicine
TopicInflammatory Myopathies and Dermatomyositis
Canadian institutionsInstitut du Savoir MontfortMontfort HospitalOttawa Hospital
Fundersnot available
KeywordsMedicineTolerabilityRefractory (planetary science)IloprostIntensive care medicineProstacyclinInternal medicineAdverse effect

Abstract

fetched live from OpenAlex

This case report highlights the use of intravenous high-dose Epoprostenol for managing severe digital ischemia in a patient diagnosed with antisynthetase syndrome (ASyS) exhibiting anti-Jo1 antibodies positivity, emphasizing its vasodilatory benefits and challenges with tolerability at higher doses. A multi-modal treatment strategy, including calcium channel blockers, phosphodiesterase inhibitors, hyperbaric oxygen therapy, and prostacyclin analogs, was critical for optimizing outcomes in refractory Raynaud’s phenomenon. This case underscores the importance of individualized treatment regimens and the need for ongoing monitoring and adjustments to balance therapeutic efficacy with patient safety. The report contributes to the limited literature on the management of severe digital ischemia in ASyS and emphasizes the potential role of adjunct therapies in improving patient outcomes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0020.002
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.344
Teacher spread0.324 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Medical and Pharmaceutical Case ReportsSame topicInflammatory Myopathies and DermatomyositisFrench-language works237,207